Implementation of Learning Analytics in MOOC by Using Artificial Unintelligence

Budi Yulianto,Raymond Kosala,Manik Hapsara,Harjanto Prabowo

doi:10.3844/jcssp.2018.317.323

Abstract

Massive Open Online Course (MOOC), a web-based e-learning tool, is growing to be used by current educational institutions. To prevent high non-passing rate, instructor needs to know which learner has the potential to pass the course or not. Learner who will fail the course also need advices immediately from instructor or system to overcome it. Learning Analytics (LA) is needed to collect and analyze learners’ activity logs on MOOC and predict their passing potential. The prototype application is developed by using Rational Unified Process (RUP) software development method. Implementation of LA in MOOC is feasible and suggested to analyze learners’ success factors by consuming learners’ activity logs and visualizing it in scatter diagram and node-link diagram. Instructor can provide advices to learners based on success factors generated by LA.

Highlights

Massive Open Online Course (MOOC) is a web-based LMS that usually provides online and free courses and can accommodate a significant number of learners
MOOC is believed to increase learners’ engagement and learning outcomes and it starts growing to be used by current educational institutons (Yulianto et al, 2016a; 2017)
These algorithms will be used in prototype application to be implemented in MOOC

Summary

Introduction

Massive Open Online Course (MOOC) is a web-based LMS that usually provides online and free (open) courses and can accommodate a significant (massive) number of learners. It allows learners to learn anywhere, anytime and on any device. MOOC is believed to increase learners’ engagement and learning outcomes and it starts growing to be used by current educational institutons (Yulianto et al, 2016a; 2017). MOOC contains learning contents such as slide, video, audio, textbook, picture and provide assessment to learner (Layona et al, 2017). At the end of learning, learners will have exam to evaluate their learning outcomes. The evaluation result will be the reason to determine whether the learner will pass or fail the course

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